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Delay-bounded resource allocation for femtocells exploiting the statistical multiplexing gain.

Authors :
Chen, Xin
Si, Yuan
Xiang, Xudong
Source :
Journal of Supercomputing; Sep2015, Vol. 71 Issue 9, p3217-3236, 20p
Publication Year :
2015

Abstract

Femtocell is an efficient solution for mobile operators to expand indoor coverage and increase network capacity. In this paper, we study the downlink resource allocation problem of two-tier macrocell-femtocell networks. We first formulate the problem as a Mixed Integer Non-Linear Program (MINLP) which aims to maximize the capacity of clustered femtocell networks subject to hard delay constraints of flows with different priorities. Next, we build $$(\rho (\theta ),\sigma (\theta ))$$ arrival model for the traffics and apply Stochastic Network Calculus (SNC) to transforming the delay constraints into alternative minimum transmission rate requirements, then we propose a resource allocation algorithm called S-SAPCS to solve the MINLP. Simulation results show that the proposed algorithm has near-optimal performance. We also design a scheme based on deterministic network calculus to show that S-SAPCS is able to exploit the statistical multiplexing gain among multiple flows, which improves the throughput significantly. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09208542
Volume :
71
Issue :
9
Database :
Complementary Index
Journal :
Journal of Supercomputing
Publication Type :
Academic Journal
Accession number :
109115970
Full Text :
https://doi.org/10.1007/s11227-015-1494-9